scholarly journals Effect of a Primary Care–Based Psychological Intervention on Symptoms of Common Mental Disorders in Zimbabwe

JAMA ◽  
2016 ◽  
Vol 316 (24) ◽  
pp. 2618 ◽  
Author(s):  
Dixon Chibanda ◽  
Helen A. Weiss ◽  
Ruth Verhey ◽  
Victoria Simms ◽  
Ronald Munjoma ◽  
...  
2017 ◽  
Vol 34 (1) ◽  
pp. 30
Author(s):  
Julio César Martín ◽  
Ascensión Garriga ◽  
Carmen Egea ◽  
Gonzalo Diaz ◽  
María-Josefa Campillo ◽  
...  

<p>A model of psychological intervention for common mental disorders in Primary Care is analized. Two clinical psychologists and four resident psychologists interviewed 566 users to treat mild to moderate anxiety / depression disorders, bereavement or nonorganic insomnia disorders. Standardized assessment leads to a stepped intervention: indication of no treatment, brief group or individual intervention in Primary Care Center (PCC) or referral to Mental Health.</p><p>Socio-demographic and clinical variables describe the sample and allow comparison betwen groups. Of the 566 interviewees, the mean age was 37 years, 70% were women, 50% with psychopharmacological treatment and 10% on sick leave. The steps of intervention were: 19% were intervention indication of no treatment, 71% PCC intervention and 10% were referred to Mental Health. Adaptive, emotional and generalized anxiety disorders were predominant, with significant differences between centers depending on the location and clinical psychologist integration mode in PCC.</p><p><span style="font-family: Times New Roman;">Integrating the clinical psychologist in PCC improve access to psychological interventions and reduces mild to moderate mental disorders medication. Assessment prevents unnecessary treatment onset and increases the likelihood of appropriate treatment indications, which is cost-effective.</span></p>


2007 ◽  
Vol 38 (2) ◽  
pp. 221-228 ◽  
Author(s):  
V. Patel ◽  
R. Araya ◽  
N. Chowdhary ◽  
M. King ◽  
B. Kirkwood ◽  
...  

BackgroundScreening of patients for common mental disorders (CMDs) is needed in primary-care management programmes. This study aimed to compare the screening properties of five widely used questionnaires.MethodAdult attenders in five primary-care settings in India were recruited through systematic sampling. Four questionnaires were administered, in pairs, in random order to participants: the General Health Questionnaire (GHQ, 12 items); the Primary Health Questionnaire (PHQ, nine items); the Kessler Psychological Distress Scale (K10, 10 items), and from which we could extract the score of the shorter 6-item K6; and the Self-Reporting Questionnaire (SRQ, 20 items). All participants were interviewed with a structured lay diagnostic interview, the Revised Clinical Interview Schedule (CIS-R).ResultsComplete data were available for 598 participants (participation rate 99.3%). All five questionnaires showed moderate to high discriminating ability; the GHQ and SRQ showed the best results. All five showed moderate to high degrees of correlation with one another, the poorest being between the two shortest questionnaires, K6 and PHQ. All five had relatively good internal consistency. However, the positive predictive value (PPV) of the questionnaires compared with the diagnostic interview ranged from 51% to 77% at the optimal cut-off scores.ConclusionsThere is little difference in the ability of these questionnaires to identify cases accurately, but none showed high PPVs without a considerable compromise on sensitivity. Hence, the choice of an optimum cut-off score that yields the best balance between sensitivity and PPV may need to be tailored to individual settings, with a higher cut-off being recommended in resource-limited primary-care settings.


BMJ Open ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. e045481
Author(s):  
Ruth Verhey ◽  
Charmaine Chitiyo ◽  
Sandra Ngonidzashe Mboweni ◽  
Ephraim Chiriseri ◽  
Dixon Chibanda ◽  
...  

IntroductionCommon mental disorders (CMDs) are a leading cause of disability globally. CMDs are highly prevalent in Zimbabwe and have been addressed by an evidence-based, task-shifting psychological intervention called the Friendship Bench (FB). The task-shifted FB programme guides clients through problem-solving therapy. It was scaled up across 36 implementation sites in Zimbabwe in 2016.Methods and analysisThis study will employ a mixed-method framework. It aims to: (1) use quantitative survey methodologies organised around the Reach, Effectiveness, Adoption and Implementation and Maintenance evaluation framework to assess the current scaleup of the FB intervention and classify 36 clinics according to levels of performance; (2) use qualitative focus group discussions and semistructured interviews organised around the Consolidated Framework for Implementation Research to analyse determinants of implementation success, as well as elucidate heterogeneity in implementation strategies through comparing high-performing and low-performing clinics; and (3) use the results from aims 1 and 2 to develop strategies to optimise the Friendship Bench intervention and apply this model in a cluster randomised controlled trial to evaluate potential improvements among low-performing clinics. The trial will be registered with the Pan African Clinical Trial Registry (www.pactr.org). The planned randomised controlled trial for the third research aim will be registered after completing aims one and two because the intervention is dependent on knowledge generated during these phases.Ethics and disseminationThe research protocol received full authorisation from the Medical Research Council of Zimbabwe (MRCZ A/242). It is anticipated that changes in data collection tools and consent forms will take place at all three phases of the study and approval from MRCZ will be sought. All interview partners will be asked for informed consent. The research team will prioritise open-access publications to disseminate research results.


BMJ Open ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. e053624
Author(s):  
Daniel Smith ◽  
Kathryn Willan ◽  
Stephanie L Prady ◽  
Josie Dickerson ◽  
Gillian Santorelli ◽  
...  

ObjectivesWe aimed to examine agreement between common mental disorders (CMDs) from primary care records and repeated CMD questionnaire data from ALSPAC (the Avon Longitudinal Study of Parents and Children) over adolescence and young adulthood, explore factors affecting CMD identification in primary care records, and construct models predicting ALSPAC-derived CMDs using only primary care data.Design and settingProspective cohort study (ALSPAC) in Southwest England with linkage to electronic primary care records.ParticipantsPrimary care records were extracted for 11 807 participants (80% of 14 731 eligible). Between 31% (3633; age 15/16) and 11% (1298; age 21/22) of participants had both primary care and ALSPAC CMD data.Outcome measuresALSPAC outcome measures were diagnoses of suspected depression and/or CMDs. Primary care outcome measure were Read codes for diagnosis, symptoms and treatment of depression/CMDs. For each time point, sensitivities and specificities for primary care CMD diagnoses were calculated for predicting ALSPAC-derived measures of CMDs, and the factors associated with identification of primary care-based CMDs in those with suspected ALSPAC-derived CMDs explored. Lasso (least absolute selection and shrinkage operator) models were used at each time point to predict ALSPAC-derived CMDs using only primary care data, with internal validation by randomly splitting data into 60% training and 40% validation samples.ResultsSensitivities for primary care diagnoses were low for CMDs (range: 3.5%–19.1%) and depression (range: 1.6%–34.0%), while specificities were high (nearly all >95%). The strongest predictors of identification in the primary care data for those with ALSPAC-derived CMDs were symptom severity indices. The lasso models had relatively low prediction rates, especially in the validation sample (deviance ratio range: −1.3 to 12.6%), but improved with age.ConclusionsPrimary care data underestimate CMDs compared to population-based studies. Improving general practitioner identification, and using free-text or secondary care data, is needed to improve the accuracy of models using clinical data.


Author(s):  
Vineta Viktorija Vinogradova ◽  
Jeļena Vrubļevska ◽  
Elmārs Rancāns

Abstract Depression is among the most common mental disorders in primary care. Despite high prevalence rates it remains to be under-diagnosed in primary care settings over the world. This study was aimed to identify Latvian family physicians’ (FPs) experience and attitude in diagnosing and managing depression. It was carried out within the framework of the National Research Programme BIOMEDICINE 2014–2017. After educational seminars on diagnosing and managing depression, FPs were asked to complete a structured questionnaire. In total 216 respondents were recruited. Most of the doctors, or 72.2% (n = 156), agreed with the statement that patients with depression use primary care facilities more often than other patients. More than a half of physicians, or 66.3% (n = 143) quite often asked their patients about their psycho-emotional status and 65.7% (n = 142) of clinicians thought that they can successfully assess a patient’s psychoemotional status and possible mental disorders. The majority, or 91.6 % (n = 198), supposed that routine screening for depression is necessary in Latvia. Despite the fact that a significant number, or 62.6% (n = 135) of FPs thought that their practice was well suitable for the treatment of depressive patients, half of the respondents, or 50.9% (n = 110), assessed their ability to build a trustful contact and to motivate patients for treatment as moderate. Although FPs acknowledged the importance and necessity to treat depression, current knowledge and management approaches were far from optimal. This justifies the need to provide specific training programmes for FPs.


2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S8-S8
Author(s):  
Jesus Perez ◽  
Clare Knight ◽  
Debra A Russo ◽  
Jan Stochl ◽  
Peter B Jones

Abstract Background Systematic reviews indicate that approximately one third of people with at-risk mental states for psychosis (ARMS) will transition to a psychotic disorder. Research in non-specialised services, such as primary care settings, has shown that far fewer make such a conversion. Nonetheless, psychotic experiences (PE) may also be linked to common mental disorders (CMD), particularly depression and anxiety, and still predict poor outcomes. Population studies modelling the co-occurrence of CMD and PE have found an underlying unitary psychopathological factor, with PE emerging towards its more severe end. We know little about the prevalence of and recovery from PE in primary mental health care, where most CMD are treated. One example of primary mental health care setting in England is the Improving Access to Psychological Therapies (IAPT) programme (https://www.england.nhs.uk/mental-health/adults/iapt/). The IAPT programme provides evidence-based psychological therapies for mild to moderate CMD across the UK National Health Service (NHS). IAPT services adhere to current diagnostic paradigms and, therefore, do not either measure or treat PE. We aimed to establish the prevalence of PE in a large sample of patients with CMD from the IAPT programme and compare recovery rates between patients with CMD and PE (CMD-P) and those without PE. Methods We used the Community Assessment of Psychic Experiences - Positive 15-item Scale (CAPE-P15) to determine the prevalence of PE in patients with CMD receiving treatment from IAPT services across England. We employed the CAPE-P15 threshold score of 1.47, which identifies individuals with ARMS, and also a lower threshold of 1.30, chosen as within one standard error of measurement, in order to explore threshold effects in the association between PE and recovery. Patient-reported measures of depression (PHQ-9) and anxiety (GAD-7) are routinely collected in IAPT services and determine ‘caseness’ before, during and after therapy. Using recovery rates (moving from ‘caseness’ to recovery) monitored nationally in the IAPT programme, we stratified patients according to the absence and presence of PE. Multi-group growth models estimated improvement trajectories for each group. Results 2,042 patients with CMD completed the CAPE-P15. The mean age was 39.8. The overall prevalence of CMD-P was 29.68% at CAPE-P15 threshold score for ARMS, i.e. 1.47, and 48.09% at threshold score 1.30. The overall recovery rate at threshold of 1.47 was 27.87% and 36.3% at 1.30. Recovery rates for those without PE were 58.92% and 62.43% for thresholds 1.47 and 1.30, respectively. Although patients with or without PE shared similar improvement trajectories, the initial severity of patients with CMD-P impeded their likelihood of recovery during treatment. Discussion At least one in four patients receiving treatment from IAPT services in primary care experience CMD-P. This significant group of people experience a lower recovery rate, with adverse implications not only for them but also for efficiency of services. Although recovery trajectories for this group showed improvement over therapy sessions, remittance of symptoms was insufficient to meet national IAPT standards of recovery. This patient group is not well-served by current interventions in primary care. This work forms part of a nation-wide NIHR research programme (TYPPEX; https://www.nihr.ac.uk/news/innovative-mental-health-study-launchesin-eastern-region) aiming to develop innovative therapies for people with CMD-P in primary care. Preliminary results related to feasibility and effectiveness of new therapeutic approaches will also be presented.


Author(s):  
Martina Michaelis ◽  
Elisabeth Maria Balint ◽  
Florian Junne ◽  
Stephan Zipfel ◽  
Harald Gündel ◽  
...  

The rising burden of common mental disorders (CMDs) in employees requires strategies for prevention. No systematic data exist about how those involved perceive their roles, responsibilities, and interactions with other professional groups. Therefore, we performed a multi-professional standardized survey with health professionals in Germany. A self-administered questionnaire was completed by 133 occupational health physicians (OHPs), 136 primary care physicians (PCPs), 186 psychotherapists (PTs), and 172 human resource managers (HRMs). Inter alia, they were asked which health professionals working in the company health service and in the outpatient care or in the sector of statutory insurance agents should play a key role in the primary, secondary, and tertiary prevention of CMDs in employees. The McNemar test was used in order to compare the attributed roles among the professionals involved. With regard to CMDs, all the professional groups involved in this study declared OHPs as the most relevant pillar in the field of prevention. In primary prevention, HRMs regarded themselves, OHPs, and health insurance agents as equally relevant in terms of prevention. PTs indicated an important role for employee representatives in this field. In secondary prevention, PCPs were regarded as important as OHPs. HRMs indicated themselves as equally important as OHPs and PCPs. In tertiary prevention, only OHPs identified themselves as main protagonists. The other groups marked a variety of several professions. There is a common acceptance from the parties involved that might help the first steps be taken toward overcoming barriers, e.g., by developing a common framework for quality-assured intersectional cooperation in the field of CMD prevention in employees.


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